基于一维特征曲线的全局运动表征方法在图像处理中的应用

Ealgoo Kim, Daeyun Shim, Seong-Ik Jang, Gyudong Kim, Wonchan Kim
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引用次数: 1

摘要

提出了一种硬件性能和计算效率都很高的帧运动表征方法。该算法不再处理二维m/spl × /n个图像元素,而是通过数学运算将垂直线和水平线的亮度值分别作为x方向和y方向的特征值,生成两个一维向量。通过将帧变化分解为物体运动、平移和缩放等因素,证明了该算法的有效性。讨论了在自动运动跟踪系统和图像稳定器中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A global motion characterization method using one-dimensional characteristic curves for image processing applications
A very hardware and computation efficient method for frame motion characterization is developed. Instead of dealing a 2-dimensional m/spl times/n picture elements, this algorithm generates two 1-dimensional vectors, by mathematically operating the luminance values of vertical and horizontal lines as the characteristic valves of x and y direction, respectively. The efficiency of this algorithm is demonstrated by decomposition of frame changes into various factors: the motion of objects, panning and zooming. Applications in automatic motion tracking system and image stabilizer are discussed.
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